计算机网络病毒防御系统开发中数据挖掘技术应用  

Data Mining Application on Computer Network Virus Defense System Development

作　　者：孙丽娜[1] SUN Li-na(Teaching Affairs Division,Minsheng College of Henan University,Kaifeng 475004,China)

机构地区：[1]河南大学民生学院教务部

出　　处：《软件导刊》2019年第8期166-169,173,共5页Software Guide

基　　金：国家自然科学基金面上项目(11671119)

摘　　要：利用数据挖掘技术开发计算机网络病毒防御系统,实现对网络病毒在线检测与控制。将传统防火墙技术与入侵检测技术融合,通过系统管理员了解在线网络病毒入侵情况,采用数据挖掘技术对网络病毒特征进行搜集并存储到数据库中,从而有效控制防御网络病毒。实践表明,采用数据挖掘技术设计的计算机网络病毒防御系统比传统防火墙病毒防御方法的防御能力提高了80%,对网络病毒种类掌握更全面,能够更好地抵御病毒侵害。The data mining technology is used to develop a computer network virus defense system to realize online detection and control of network viruses.The traditional firewall technology is integrated with the intrusion detection technology.After the system administrator understands the intrusion of the online network virus,the data mining technology is used to collect and store the network virus features in the database,thereby effectively controlling the defense network virus.Practice shows that the computer network virus defense system designed by data mining technology is 80% higher than the transmitted firewall virus defense method,and the type of network virus is more comprehensive and can better resist virus infringement.

关 键 词：数据挖掘 网络病毒防御系统 在线监控 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]